In 2006-2008 26 wheat varieties were tested, created at IPGR Sadovo during the period 1948-2006 as well as the Bezostaya1 variety. Biometric measurements were made on some elements of productivity – number of productive tillers, harvest index, plant height, above-ground dry mass, vegetation period, number of grains in wheat ear, mass of grain in wheat ear, weight of grain per 1m2 area, number of stem wheat-ears per 1 m2 area, some morpho-physiological indices – flag leaf width, mass of 1 leaf, loss of leaf mass per 1 plant, loss of leaf area per 1 plant, measured in two phases of the wheat plant development. Detailed agro-meteorological statistics about the years of study is shown in our previous publication. The data of the measurements were mathematically processed by a computer program SPSS 9.0 for Windows. A regression equation was derived, explaining the quantitative modification of the grain yield per unit area in a “unit” change of any of the studied indices. The obtained equation of the theoretical regression model is as follows: Y=955,79+117,10*x1+443,70*x2-1,49*x3-4,69*x4+0,0064*x5+2,27*x6+93,91*x7+181,05*x8-0,20*x9+49,52*x10-2883,52*x11- 8,55*x12+5,39*x13 As a result of the study a model of a wheat plant was created suitable for the dry climate conditions in Sadovo, characterized by high grain yield.
Wheat plant model for dry climate conditions according to the yield components and some morphophysiological indices